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An actuator line - immersed boundary method for simulation of multiple tidal turbines

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  • Liu, Cheng
  • Hu, Changhong

Abstract

This work proposes an efficient actuator line – immersed boundary (AL-IB) method to predict the wake of multiple horizontal-axis tidal turbines (HATTs). A sharp IB method with a simple adaptive mesh refinement strategy is used to improve the computational efficiency. The velocity and other scalar fields adjacent to the solid surface are reconstructed by a moving least square (MLS) interpolation. A computationally efficient AL model is applied to represent the rotors by adding source term to the governing equation rather than resolving the fully geometry of the blade. To predict the turbulent wake, the AL-IB method is implemented with an unsteady Reynolds-averaged Navier–Stokes (URANS) solver. Performance of three types of turbulence models, k−ω−SST model, standard and corrected k−ω model are evaluated. An efficient wall function model is proposed for the MLS-IB approach. The accuracy of the present AL-IB method is validated by numerical tests of a single rotor and multiple tandem arranged IFREMER rotors [1,2]. Wake interference of Manchester rotors [3] with side by side arrangement is also investigated numerically. The predicted wake velocity and turbulence intensity (TI) are in reasonably good agreement with the experimental results.

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  • Liu, Cheng & Hu, Changhong, 2019. "An actuator line - immersed boundary method for simulation of multiple tidal turbines," Renewable Energy, Elsevier, vol. 136(C), pages 473-490.
    • Handle: RePEc:eee:renene:v:136:y:2019:i:c:p:473-490
    DOI: 10.1016/j.renene.2019.01.019
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    1. Shives, Michael & Crawford, Curran, 2016. "Adapted two-equation turbulence closures for actuator disk RANS simulations of wind & tidal turbine wakes," Renewable Energy, Elsevier, vol. 92(C), pages 273-292.
    2. Edmunds, M. & Williams, A.J. & Masters, I. & Croft, T.N., 2017. "An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 101(C), pages 67-81.
    3. Chapman, J.C. & Masters, I. & Togneri, M. & Orme, J.A.C., 2013. "The Buhl correction factor applied to high induction conditions for tidal stream turbines," Renewable Energy, Elsevier, vol. 60(C), pages 472-480.
    4. Bai, X. & Avital, E.J. & Munjiza, A. & Williams, J.J.R., 2014. "Numerical simulation of a marine current turbine in free surface flow," Renewable Energy, Elsevier, vol. 63(C), pages 715-723.
    5. Mycek, Paul & Gaurier, Benoît & Germain, Grégory & Pinon, Grégory & Rivoalen, Elie, 2014. "Experimental study of the turbulence intensity effects on marine current turbines behaviour. Part II: Two interacting turbines," Renewable Energy, Elsevier, vol. 68(C), pages 876-892.
    6. Mycek, Paul & Gaurier, Benoît & Germain, Grégory & Pinon, Grégory & Rivoalen, Elie, 2014. "Experimental study of the turbulence intensity effects on marine current turbines behaviour. Part I: One single turbine," Renewable Energy, Elsevier, vol. 66(C), pages 729-746.
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    1. Federico Attene & Francesco Balduzzi & Alessandro Bianchini & M. Sergio Campobasso, 2020. "Using Experimentally Validated Navier-Stokes CFD to Minimize Tidal Stream Turbine Power Losses Due to Wake/Turbine Interactions," Sustainability, MDPI, vol. 12(21), pages 1-26, October.
    2. Mikaël Grondeau & Sylvain Guillou & Philippe Mercier & Emmanuel Poizot, 2019. "Wake of a Ducted Vertical Axis Tidal Turbine in Turbulent Flows, LBM Actuator-Line Approach," Energies, MDPI, vol. 12(22), pages 1-23, November.
    3. Mickael Grondeau & Sylvain S. Guillou & Jean Charles Poirier & Philippe Mercier & Emmnuel Poizot & Yann Méar, 2022. "Studying the Wake of a Tidal Turbine with an IBM-LBM Approach Using Realistic Inflow Conditions," Energies, MDPI, vol. 15(6), pages 1-34, March.

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